Google Summer of Code 2007

Project Description

The project consists of fulfilling a library for feature matching between multiple images using a Hessian-based detector and a suitable descriptor. A detector and descriptor that takes into account the approximately known distortions will have a much higher matching rate, especially when fisheye or wide angle images are used.

An example of algorithm for the detection step is explained in the paper:

Choose some papers that could be use for this purpose.

Once the feature points are detected on each image, to match them and describe the neughbourhood in highly distorted images, the algorithms that could be used for this is explained in the paper:

Choose some papers that could be use for this purpose.

To conclude, it would be necessary to facilitate the use of the tool by creating a user's interface. This would allow to choose the set of images to make the panorama. The graphical interface would be developed having in mind the new extensible modular GUI framework SoC_2007_project_New_GUI_Framework.

Project Schedule

0w April 9 - Application selection

Interim Period: Learn more about the project, the literature that is being used to develop it, and build a testing set with ground truth ~200 images. This can be done asking for pictures to the mailing list.

0w May 28 - Begin coding for the project

1w June 4 - Create all the evaluation software, (mainly available from Miko)

3w June 18 - Implement of the algorithm chosen for the detector of feature points on the image.